Productivity

AgentCanvas

A hosted infinite canvas your headless AI agents drive over MCP. Any MCP-speaking agent - Claude Code, Codex, Cursor, or a script - creates HTML docs, images, and video on a live canvas, streamed in as it builds.

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AgentCanvas is a hosted infinite canvas that headless AI agents control over MCP. You connect any MCP-speaking harness (Claude Code, Codex, Cursor, or a plain script) to its stdio MCP server, and the agent creates assets on a shared canvas that renders live over SSE. It supports three asset types - HTML docs in sandboxed iframes, images, and video - plus text-to-image generation via Fal. The MCP tool surface includes canvas_guide and get_design_system (so output comes out on-brand), create_canvas and list_canvases for multi-canvas work, create_html_asset, create_image_asset, create_video_asset, generate_image, and append_html / stream_html_demo for the live build effect where you watch docs assemble chunk by chunk. A connectors registry ("MCP of MCPs") brokers downstream research, image, and video models. Built on Next.js 16, React 19, and tldraw. It is a Developers Digest project.

productivity mcp ai-agents canvas claude-code streaming developer-tools

AgentCanvas at a glance

Last verified October 17, 2026

Pricing: Canvas - no listed price for canvas use
Image generation - metered through the platform and paid with universal Developers Digest credits via /api/agentcanvas/generate-image
Models: The canvas is driven by whichever MCP-speaking agent you connect, such as Claude Code, Codex, Cursor or a script. Text-to-image generation runs through Fal, using the model set in the connectors registry.

Sources: AgentCanvas on Developers Digest, AgentCanvas app

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